ABSTRACT
One area that has attracted much attention lately is compressed sensing or compressed sampling (CS) [111]. For applications such as medical imaging, CS may provide a means of reducing radiation dosage to the patient without sacrificing image quality. An important aspect of CS is finding sparse solutions of under-determined systems of linear equations, which can often be accomplished by one-norm minimization. Perhaps the best reference to date on CS is [36].
